Edge AI & Automation Orchestration Platform

Automate Your Operations.
Keep Your Data
Private.

You are losing revenue to missed inbound leads and paying staff to do manual data entry. Starbloom deploys private automated systems that capture customers, qualify leads, and sync your old legacy software. All running securely on a box inside your office.

Edge AI and Automation Orchestration for Enterprise Operations. Zero cloud dependency.
Zero cloud dependency Open-source orchestration Air-gapped by default Q2/Q3 Deployment Cohort

Three Infrastructure Pillars.
One orchestration platform.

Pillar 1 — Operations

Private Local Automation

Forget expensive cloud subscriptions and massive IT overhauls. We provide a secure private automation box that handles your operational busywork. It plugs into your network and works silently without anyone having to mess with your router or open up your firewall. Your proprietary data never leaves your walls.

Infrastructure Architecture: Localized Confidential Compute Enclaves running Autonomous Agent Swarms via outbound Zero Trust Mesh Networks.

  • Zero inbound firewall changes required
  • Dockerized n8n + open-source model stack
  • 24/7 autonomous execution on your schedule
Orchestration Engine
n8n
Container Runtime
Docker
Model Runner
Ollama (local LLMs)
Secure Connectivity
Cloudflare Tunnel
Pillar 2 — Revenue Generator

The 24 7 Smart Intake Engine

Never miss a high value inbound lead again. Our voice and SMS agents answer instantly, sound like a real human, qualify the exact needs of the prospect, and log the data straight into your CRM whether it is 2 PM during a rush or 2 AM on a Sunday.

Infrastructure Architecture: Sub 100ms ultra low latency Edge Agent arrays integrated directly with Twilio, Vapi, and CRM APIs.

  • Sub-100ms response time on voice
  • Qualifies + books directly into job management systems
  • Multi-channel: voice, SMS, web chat
Voice Platform
Vapi / Retell
SMS Gateway
Twilio
Response Latency
Sub-100ms
Integration Target
CRM / Job Management Systems
Pillar 3 — Data Resilience

The Legacy Data Link

Stop wasting hours copying and pasting data. If your old desktop software refuses to talk to your modern tools, our system bridges the gap. We automate the extraction of your trapped operational data and stream it directly to live mobile friendly dashboards for the executive team.

Infrastructure Architecture: Continuous On Prem Distillation Pipelines utilizing Vision RPA and local Vector DB and RAG configurations.

  • Screen-scrape closed-source desktop ERPs
  • Stream to BigQuery → Looker Studio live dashboards
  • Zero API integration required on legacy side
Data Destination
Google BigQuery
Methodology
Vision-based RPA
Visualization
Looker Studio
Source Systems
Closed-Source Desktop ERPs

Platform Tiers

Baseline pricing structures. All tiers currently restricted to the private Beta Cohort.

Restricted to Beta Cohort

Foundation Tier

$500 one-time

$499/month ongoing support

Edge AI Orchestration appliance + single Legacy Data Bridge agent. Pre-configured n8n workflows on one local machine. 30 days of onboarding support included.

  • 1 Edge AI Orchestration appliance (n8n + open-source models)
  • 1 Legacy Data Bridge agent (vision-RPA pipeline)
  • Outbound Cloudflare Tunnel configuration
  • 30 days orchestration support
Request Fleet Deployment Slot
Restricted to Beta Cohort
Recommended

Fleet Tier

$950 one-time

$599/month premium support

Full platform: Edge AI Orchestration + 24/7 AI Intake Engine + Legacy Data Bridge. Multi-channel voice, SMS, and web agents. Two machines. 30 days of onboarding support included.

  • Everything in Foundation Tier
  • 24/7 AI Intake Engine (voice + SMS + web)
  • CRM integration (job booking + qualification)
  • Up to 2 machines + Google BigQuery pipeline
  • Live Looker Studio visualization setup
  • 30 days premium orchestration support
Request Fleet Deployment Slot

Your Platform. Deployed in Days, Not Months.

1

Architecture Blueprint

60-minute operational deep dive. We map your legacy systems, identify data silos, spec the hardware/cloud target, and blueprint the exact orchestration topology for your three-pillar deployment.

2

Orchestration Deploy

We remotely provision your machines with the full orchestration stack — Docker, n8n, model runners, Cloudflare Tunnel. Outbound-only encrypted connection. Your data never leaves your infrastructure.

3

Fleet Handoff & Ops

Working AI agents, live dashboards, intake engine online. Team training, documentation, and 30 days of premium support. No PhD required to operate your fleet.

Data Security and On-Premise Architecture

Yes, your data remains under your control. All Starbloom AI appliances and data bridges run exclusively on your hardware. AI models, agents, and workflows execute locally — no operational data is shipped to third-party clouds for processing. Our orchestration relies on encrypted, outbound-only Cloudflare Tunnels, meaning your systems are never exposed to the public internet and require no open inbound ports. Clients decide where their structured analytics data goes — nothing leaves without authorization.

Zero Inbound Ports

No firewall changes required. Our outbound-only tunnels connect through your existing network without exposing anything to the public internet.

Local Processing Only

All models, agents, and workflows execute on your machines. No data shipped to third-party clouds for processing. Your operational data stays yours.

Encrypted Transit

All tunnel traffic is encrypted end-to-end via Cloudflare's Zero Trust architecture. Even if intercepted, the payload is unreadable.

You won’t find client logos here. Here’s why.

Every Starbloom deployment operates inside a client’s private infrastructure — behind their firewall, on their hardware, processing their proprietary operational data. The companies we work with are not interested in being case studies. They are interested in automated lead capture, legacy data liberation, and edge AI orchestration that stays silent and invisible.

We do not name clients. We do not publish logos. We do not ask for testimonials. Every engagement is covered by a mutual NDA that protects their operational data, their infrastructure topology, and their competitive advantage. This page looks different from most consulting websites because our business model is different: we deploy infrastructure, not marketing claims.

The ultimate test subject was Starbloom itself. We built APEX — a multi-agent pipeline that crawled our own website, detected broken entity links, and self-corrected our semantic markup — because we refuse to sell something we haven’t tested on ourselves first.

Platform Stack

Enterprise Infrastructure.
Open-Source Foundation.

Starbloom does not build proprietary black boxes. We assemble battle-tested, publicly-verified infrastructure components used by the world’s largest organizations. Here’s the stack — and the adoption numbers behind it.

n8n

Workflow automation engine. 189K+ GitHub stars. Used by Cisco, NASA, and the German government. Fair-code licensed — source is auditable.

GitHub Stars
189K+
License
Sustainable Use (fair-code)
Notable Users
Cisco, NASA
View on GitHub

Docker

Container runtime and orchestration. 92% of IT professionals use Docker. 71% of professional developers rely on it. Powers 55%+ of all container deployments globally.

IT Adoption
92%
Developer Usage
71.1% (Stack Overflow 2025)
Container Market
$6.1B (2025)
Docker Official Site

Cloudflare Tunnel

Zero Trust encrypted connectivity. 81% of organizations are adopting Zero Trust architecture. Cloudflare serves ~20% of the web. Outbound-only — zero inbound firewall rules required.

Zero Trust Market
$38.4B (2025)
Org Adoption
81% implementing ZT
ZTNA Growth
25.5% CAGR
Cloudflare Docs

Ollama

Local LLM runner. 172K+ GitHub stars. 96M+ Python client downloads. Runs models entirely offline — no API tokens, no cloud dependency, no data leakage.

GitHub Stars
172K+
PyPI Downloads
96M+ total
Monthly Downloads
11.7M+
View on GitHub

Adoption statistics sourced from GitHub, Stack Overflow Developer Survey 2025, Mordor Intelligence Container Market Report 2025, MarketsandMarkets ZTNA Report 2025. All figures are publicly verifiable.

The Starbloom Platform

What is Starbloom Consulting?
Businesses lose revenue to missed calls and manual data entry across legacy systems that cannot talk to each other. Starbloom deploys private Edge AI orchestration appliances on client-owned hardware — automating lead capture, qualifying prospects, and syncing data through outbound encrypted tunnels with zero cloud dependency.
How does Starbloom handle data privacy?
Most AI platforms require uploading operational data to third-party cloud servers. Starbloom runs entirely on client-owned hardware inside the client's facility — all models, agents, and workflows execute locally. Connectivity uses outbound-only Cloudflare Tunnels requiring zero inbound firewall changes. Clients control where their data goes. Nothing leaves without their say-so.
What does the 24/7 AI Intake Engine do?
Operators lose high-value jobs when phones go unanswered after hours or during peak shifts. Starbloom deploys conversational AI voice and SMS agents that answer instantly, sound human, qualify prospects against business criteria, and log qualified leads directly into the client's CRM — capturing revenue that would otherwise be lost to voicemail.
How does the Legacy Data Bridge work?
Closed-source desktop ERPs trap operational data inside applications with no API. Starbloom deploys Vision-RPA agents that screen-scrape legacy systems and extract structured data. Clients route output to their own database by default. For teams without existing infrastructure, Starbloom provides a managed Google BigQuery and Looker Studio pipeline as an included option.
What does a Starbloom deployment cost and include?
Starbloom charges flat deployment fees — never per-seat licensing. Foundation Tier is $500 for Edge AI Orchestration plus Legacy Data Bridge on one machine, with $499/month ongoing support. Fleet Tier is $950 for the full three-pillar platform across two machines, with $599/month premium support. Both include 30 days of initial onboarding support.

Common Questions

What hardware is required for Starbloom?
Starbloom’s Edge-AI platform runs on dedicated, localized mini-PC appliances (such as Beelink or ASUS edge computers) deployed directly inside your office. We can also provision the orchestration stack on your existing private cloud infrastructure.
How long does platform deployment take?
Fleet deployment is typically completed in under 7 days. This includes a 60-minute architecture blueprint session, remote orchestration provisioning via outbound Cloudflare Tunnels, and a final operational handoff.
Q2/Q3 Deployment Cohort — Limited Fleet Slots

Ready to join the Fleet?

Edge AI orchestration, 24/7 intake engines, and legacy data bridges — all running on your hardware, under your control. Apply now. Fleet slots are limited by our deployment capacity. Each client gets dedicated hardware orchestration.

No checkout. No credit card. Application-only fleet deployment.